 ;; <br/>
 ;; # One last example showing everything together
 ;;
-;; Let's see how Semantic CSV in the context of a little data pipeline.
+;; Let's see how Semantic CSV works in the context of a little data pipeline.
 ;; We're going to thread data in, tranform into maps, run some computations for each row and assoc in,
 ;; then write the modified data out to a file, all lazily.
 ;; First let's show this with `clojure/data.csv`, which I find a little easier to use for writing.

;; For the ultimate in _programmer_ laziness:
;;
;;     (slurp-csv "test/test.csv"
;;                        :cast-fns {:this #(Integer/parseInt %)})


;; <br/>

;;
;; We've already looked at `cast-with` and `cast-all`, which can be useful as output as well as input
;; processing functions.
;; Another important function we'll need is one that takes a sequence of maps and turns it into a sequence
;; of vectors since this is what most of our csv writing/formatting libraries will want.


